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Is my model perplexed for the right reason? Contrasting LLMs' Benchmark Behavior with Token-Level Perplexity featured image

Is my model perplexed for the right reason? Contrasting LLMs' Benchmark Behavior with Token-Level Perplexity

A principled interpretability framework based on token-level perplexity to test whether LLMs rely on linguistically relevant cues in benchmark evaluations.

z.-prins
Machine Learning for analysis of Multiple Sclerosis cross-tissue bulk and single-cell transcriptomics data featured image

Machine Learning for analysis of Multiple Sclerosis cross-tissue bulk and single-cell transcriptomics data

Integrative multi-omics and explainable ML analysis for pathway-level signatures discovery in Multiple Sclerosis. Under review at Scientific Reports.

f.-massafra